Instructions to use DionTimmer/controlnet_qrcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DionTimmer/controlnet_qrcode with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("DionTimmer/controlnet_qrcode") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.fp16.bin from DionTimmer/controlnet_qrcode: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/DionTimmer/controlnet_qrcode/resolve/refs%2Fpr%2F21/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://DionTimmer/controlnet_qrcode@refs/pr/21/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/DionTimmer/controlnet_qrcode/resolve/refs%2Fpr%2F21/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- c97448d99cbfd75ca1b97b61d1e80cd2e1b6b59986a254326b09b83779804fe9
- Size of remote file:
- 723 MB
- SHA256:
- afe344f75b44d61149255059e6db40a57c36f81c3a42f3e67d9f92d72b6f71df
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